Shao-hung Chan
PhD Candidate
Wilmington, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolShao-hung Chan is a robotics engineer and PhD candidate at USC with eight years of experience applying academic research to industrial automation at Symbotic. His expertise spans Multi-Agent Path Finding, Task & Motion Planning, SLAM, and robot navigation, bridging theoretical algorithms and real-world warehouse robotics. Based in Wilmington, MA, he combines deep research training from National Taiwan University and National Cheng Kung University with hands-on systems engineering to deliver robust multi-robot solutions. Known for integrating planning and perception in constrained environments, he focuses on making complex multi-agent coordination practical and scalable for production systems.
8 years of coding experience
Master of Science - MS, Master of Science - MS at 國立臺灣大學Bachelor of Science - BS, Bachelor of Science - BS at 國立成功大學Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at 美國南加州大學
Github Skills (1)
pbs5
Programming languages (2)
Github contributions (5)
MAPF-Competition/PlanViz
Jul 2023 - Oct 2024
An offline visualization tool for analysing solutions to multi-robot coordination problems.
Contributions:11 releases, 2 reviews, 2 PRs in 1 year 3 months
r06921017/DLCV2018SPRING
May 2018 - Feb 2019
Contributions:28 commits, 1 push in 9 months
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